1.1 Trace plots for convergence check

The current MCMC setting is:

• 300000 iteration;
  
• 200000 burn-in;
  
• 100 thinning.

1.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.04       1.14
## LDevsum       1.02       1.08
## dh0           2.44       5.11
## dh1           1.74       3.37
## dh2           1.97       3.85
## dh3           1.42       2.48
## dl0           1.91       3.70
## dl1           1.13       1.50
## dl2           1.65       3.06
## dl3           1.44       2.33
## 
## Multivariate psrf
## 
## 1.87

1.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

1.4 WAIC results

2.1 Trace plots for convergence check

The current MCMC setting is:

• 2000000 iteration;
  
• 100000 burn-in;
  
• 190 thinning.

2.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##     Point est. Upper C.I.
## dh0       1.03       1.09
## dh1       1.04       1.04
## dh2       1.00       1.00
## dh3       1.03       1.05
## 
## Multivariate psrf
## 
## 1.02

2.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

2.4 WAIC results

3.1 Trace plots for convergence check

The current MCMC setting is:

• 300000 iteration;
  
• 200000 burn-in;
  
• 100 thinning.

3.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## Devsum        1.00       1.01
## LDevsum       1.00       1.01
## dl0           1.02       1.07
## dl1           1.08       1.33
## dl2           1.01       1.03
## dl3           1.04       1.16
## 
## Multivariate psrf
## 
## 1.08

3.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

3.4 WAIC results